Systems · Product · Spatial intelligence
Hello — I'mUmang
KalraCalminfrastructureforcomplexhumanproblems.
Designing calm, intelligent systems where people, data, and operations meet.
4+
years as tech lead & PM
20+
initiatives shipped
5
collaboration across regions
Product lanes where I've owned discovery through launch—climate to APIs.
Climate
Nature tech, land use & supply‑chain compliance
PropTech
Location intelligence & preference‑driven search
Commerce
Data marketplaces, AOI pricing & self‑serve exports
APIs
Developer platforms, spatial pipelines & integrations
Collaborators
Teams I've shipped with
From climate hardware to spatial platforms — calm delivery across org sizes.
How I work
A few lenses — not a laundry list.
If we work together, this is the shorthand for how I show up: sensemaking, systems, and calm execution.
How I think
Incentives and feedback loops first — what the system rewards, punishes, and hides — before interfaces or roadmaps.
Human systems
Behavior is data with dignity: cognitive load, trust repair, and the quiet moments where products win or fail.
Research → outcomes
Field truth, telemetry, and narrative compressed into falsifiable claims — then wired into how teams operate.
Operational intelligence
North stars with counter-metrics and healthy escalation — so velocity compounds without burning people out.
Global collaboration
Places I've built and learned with teams.
Drag the globe to explore. Scroll gently to zoom. Choose a region below to fly there — highlights mark where collaboration has happened.
5regions
Featured work
Recent projects.
Previews and a headline number on each card — the rest is one click away.
200+ daily active users
Enterprise supplier compliance & deforestation monitoring
Owned backend architecture and product delivery for a confidential GIS SaaS used by global FMCGs and large agri‑supply partners — 24M+ ha on the map, 200+ daily active users, and roughly 60% faster reporting cycles vs. manual bi‑weekly runs.
DAU
200+
Reporting cycle
~60% faster
Cloud cost
~20% lower
Monitored scope
24M+ ha
Outcomes
200+ daily actives, ~60% faster reporting and data handoffs, ~20% lower recurring cloud spend after architecture hardening — one trusted surface for compliance, not competing spreadsheets.
View project
58,000+ neighborhoods · sub‑second ranking
Neighborhood intelligence & preference‑driven home search
Led product and engineering for a PropTech SaaS that ranks 58,000+ UK neighborhoods in sub‑second time against weighted lifestyle signals — 1,000+ signups in month one, 900,000+ sales records in the scoring layer, and 80% of new users completing a search in their first session.
Launch window
1,000+ users
Index size
58,000+
Sales records
900,000+
Search latency
<1s
Outcomes
Scaled acquisition (1,000+ users in 30 days), hardened search to sub‑second responses at full index size, held 99.5% uptime post‑launch, and shipped pass‑based monetization with automated reporting — a credible story for PM and tech‑lead interviews.
View project
10,000+ users · 100+ exports/day
National geospatial data marketplace & self‑serve exports
Shipped a country‑scale SaaS where planners and GIS teams buy clipped, standardized layers from one catalog — 10,000+ registered users, 100+ automated export jobs per day, and roughly 70% faster data prep vs. manual hunting across government portals.
Registered users
10,000+
Daily exports
100+
Prep time
~70% faster
Repeat usage
90%+
Outcomes
High repeat engagement (90%+ among active buyers), thousands of secure checkouts through a regional payment stack, and a durable pipeline from map AOI → priced clip → SHP/DXF delivery with email receipts and re‑downloadable history.
View project
~90% smaller models · ~3.5× faster inference
Edge environmental & fire intelligence — ML optimization and Earth‑observation validation
Partnered with a deep‑tech hardware startup to harden a proprietary badge‑class edge AI stack for real‑time environmental and fire‑risk signals: structured pruning and INT8 / INT4 quantization for on‑chip inference, sensor stabilization under temperature and humidity drift, manufacturing‑neutral baselines, gradient‑based input reduction, and VIIRS / GOES‑16 fusion with NASA FIRMS for high‑confidence event validation — roughly 90% smaller models with about 3.5× inference speedup while tightening operational trust for field teams and exec reviewers.
Model compression
~90%
Inference speedup
~3.5×
Quantization
INT8 / INT4
EO products
VIIRS + GOES‑16
Outcomes
~90% model compression with ~3.5× faster on‑device inference, materially lower memory and I/O after quantization, measurably calmer sensor traces across devices and weather swings, and a defensible satellite cross‑check story for PMs and tech leads hiring into safety, climate, or edge ML.
View projectTestimonials
What collaborators say.
“Delivered high-quality work with great communication and strong expertise. Very attentive to detail and quick to understand the project needs. Would definitely recommend and look forward to working together again!”
Fazly Noor
Marketing Manager, Inovasi Digital
“Working with Umang and his team has been an excellent experience. They successfully developed a robust web platform for serving PDFs, including an intuitive dashboard for efficient data updates. The project met all technical specifications and quality expectations. Communication was smooth and professional throughout, making collaboration straightforward and productive. I highly recommend them for their technical expertise and reliability, and look forward to working together again.”
Scott Urban
Co-Founder, Oxford Scientia
Let's talk about your next system.
Product, GIS, customer experience, or operational design — bring the messy reality; I'll bring structure and calm velocity.